| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
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|a (OCoLC)ocn968208338
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| 040 |
|
|
|a UAB
|b eng
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|d OCLCO
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| 041 |
0 |
|
|j eng
|
| 050 |
|
4 |
|a H62
|
| 070 |
0 |
|
|a H62
|
| 082 |
0 |
4 |
|a 001.42
|2 23
|
| 049 |
|
|
|a TXAM
|
| 245 |
0 |
0 |
|a Partha Lahiri discusses big data for small areas.
|
| 264 |
|
1 |
|a United Kingdom :
|b SAGE Publications Ltd,
|c 2017.
|
| 300 |
|
|
|a 1 online resource (1 video file (20 min., 56 sec.)) :
|b sound, colour
|
| 336 |
|
|
|a two-dimensional moving image
|b tdi
|2 rdacontent
|
| 337 |
|
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|a computer
|b c
|2 rdamedia
|
| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
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|a video file
|2 rda
|
| 511 |
0 |
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|a Presenter, Partha Lahiri.
|
| 520 |
8 |
|
|a Professor Partha Lahiri explains small area estimation and why it is difficult for researchers to gather reliable information about a small area solely using survey methods. Big data sources like county or state records can supplement survey data to give a more nuanced picture of what is happening in a particular area.
|
| 521 |
|
|
|a Specialized.
|
| 546 |
|
|
|a Closed-captions in English.
|
| 588 |
0 |
|
|a Online resource; title from home page (viewed on October 19, 2016).
|
| 650 |
|
0 |
|a Big data.
|
| 650 |
|
0 |
|a Data mining.
|
| 650 |
|
0 |
|a Social sciences
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|
| 650 |
|
6 |
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|
| 650 |
|
6 |
|a Exploration de données (Informatique)
|
| 650 |
|
6 |
|a Sciences sociales
|x Recherche
|x Méthodologie.
|
| 650 |
|
7 |
|a Big data.
|2 fast
|0 (OCoLC)fst01892965
|
| 650 |
|
7 |
|a Data mining.
|2 fast
|0 (OCoLC)fst00887946
|
| 650 |
|
7 |
|a Social sciences
|x Research
|x Methodology.
|2 fast
|0 (OCoLC)fst01122961
|
| 655 |
|
4 |
|a Online media.
|
| 655 |
|
7 |
|a Internet videos.
|2 fast
|0 (OCoLC)fst01750214
|
| 655 |
|
7 |
|a Nonfiction television programs.
|2 fast
|0 (OCoLC)fst01710270
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| 655 |
|
7 |
|a Internet videos.
|2 lcgft
|
| 655 |
|
7 |
|a Nonfiction television programs.
|2 lcgft
|
| 655 |
|
7 |
|a Vidéos sur Internet.
|2 rvmgf
|
| 655 |
|
7 |
|a Émissions télévisées autres que de fiction.
|2 rvmgf
|
| 700 |
1 |
|
|a Lahiri, Parhasarathi,
|d 1959-
|e on-screen presenter.
|1 https://id.oclc.org/worldcat/entity/E39PCjHQcM4fkqKYJHvHp7kcHd
|
| 758 |
|
|
|i has work:
|a Partha Lahiri discusses big data for small areas (MovingImage)
|1 https://id.oclc.org/worldcat/entity/E39PCFDf43fRTrcWDxDFxBcJj3
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/video/partha-lahiri-discusses-big-data-for-small-areas
|z Connect to this streaming video
|t 0
|
| 955 |
|
|
|a SAGE Research Methods Videos 2020
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
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|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e H62
|h Library of Congress classification
|
| 998 |
f |
f |
|a H62
|t 0
|l Available Online
|